面向战场环境感知的高光谱图像处理技术综述
Techniques on Processing of Hyperspectral Images in Perception of Battlefield Environment
吴玲达 1姚中华 2任智伟2
作者信息
- 1. 装备学院 复杂电子系统仿真实验室, 北京 101416
- 2. 装备学院 研究生管理大队, 北京 101416
- 折叠
摘要
高光谱图像由于其良好的空间特性和光谱特性,已经广泛应用于地质勘查、海洋监测、农业观测、战场侦察等领域中.面向战场环境感知相关应用,总结了高光谱图像预处理技术和端元解混技术,并根据战场环境分类和战场目标检测的实际应用,对高光谱图像分类技术和目标检测技术进行概述;总结比较了高光谱图像处理常用算法的优劣性及适用范围,展望了高光谱端元解混、分类及目标检测等技术的发展趋势.
Abstract
Hyperspectral images, due to their good spatial and spectral characteristics, have been widely used in geological survey, marine monitoring, agricultural observation, battlefield reconnaissance, and so on.Aiming at perception of battlefield environment, this paper summarizes the methods of preprocessing and end-member unmixing of the hyperspectral images.Based on the application of battlefield environment classification and battlefield target detection, the techniques used in hyperspectral image classification and target detection are also overviewed.The paper also analyzes the advantages and disadvantage of the commonly used algorithms in hyperspectral image processing and their scope of application, and looks to the future technological development of end-member unmixing of hyperspectral images, hyperspectral image classification and the target detection.
关键词
高光谱图像/端元解混/目标检测/战场环境感知/光谱图像分类Key words
hyperspectral images/end-member unmixing/target detection/perception of battlefields environment/classification of hyperspectral images引用本文复制引用
出版年
2017
NETL
NSTL
维普
万方数据